Papers by Chanwoo Park

2 papers
BehaviorSFT: Behavioral Token Conditioning for Health Agents Across the Proactivity Spectrum (2025.findings-emnlp)

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Challenge: Large Language Models (LLMs) struggle with proactive engagement, authors say . a blind clinical evaluation confirmed that trained agents exhibit more realistic clinical behavior .
Approach: They propose a training strategy using behavioral tokens to explicitly condition LLMs for dynamic behavioral selection.
Outcome: The proposed training strategy boosts performance on both benchmarks.
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning (2025.acl-long)

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Challenge: Existing studies focus on prompting and developing workflows with frozen LLMs.
Approach: They propose a multi-agentic framework for collaborative LLMs with reinforcement learning that leverages multi-gendered frameworks to enhance collaboration.
Outcome: The proposed model improves collaboration performance across multiple datasets with generalization to unseen domains compared to existing models.

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